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Internship High Performance Computing Engineer Jobs in San Jose, CA

ASML

High Performance Computing Engineer

San Jose, CA · On-site

$147K - $221K/yr

Introduction to the job We are seeking a highly motivated High Performance Computing (HPC) Engineer to design, develop, deploy, and maintain cutting-edge computing platforms that enable advanced ...

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Internship High Performance Computing Engineer information

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How much do internship high performance computing engineer jobs pay per hour?

As of Aug 22, 2026, the average hourly pay for internship high performance computing engineer in San Jose, CA is $70.44, according to ZipRecruiter salary data. Most workers in this role earn between $57.74 and $79.71 per hour, depending on experience, location, and employer.

What is an internship high performance computing engineer?

An Internship High Performance Computing (HPC) Engineer is a student or early-career professional who works with advanced computing systems designed for processing large data sets and complex calculations at high speeds. During the internship, they assist in developing, optimizing, and maintaining HPC infrastructure, software, or applications used in scientific research, engineering, or data analysis. The role often involves learning about parallel computing, cluster management, and performance tuning, while gaining hands-on experience with cutting-edge technologies. Interns work under the supervision of experienced HPC engineers, contributing to projects that advance computational capabilities in various fields.

What types of projects can I expect to work on as an internship high performance computing engineer?

As an Internship High Performance Computing (HPC) Engineer, you will typically contribute to projects involving optimization of scientific applications, performance analysis, and cluster management. Interns often assist with benchmarking software, troubleshooting issues in parallel computing environments, and supporting researchers with technical solutions. You'll likely collaborate closely with senior HPC engineers, system administrators, and academic researchers to ensure efficient use of computing resources. This hands-on experience provides valuable insight into real-world challenges faced in HPC environments and helps build a strong foundation for future roles in the field.

What are the key skills and qualifications needed to thrive as an internship high performance computing engineer?

To thrive as an Internship High Performance Computing Engineer, you need a solid background in computer science fundamentals, programming (especially in C/C++ or Python), and a familiarity with parallel computing concepts, often supported by coursework or relevant project experience. Experience with Linux environments, HPC clusters, and distributed computing frameworks, as well as tools like MPI, OpenMP, or Slurm, is commonly required. Strong problem-solving skills, attention to detail, and the ability to collaborate effectively within technical teams help interns stand out. These skills ensure you can efficiently support computational research, resolve technical challenges, and contribute meaningfully to HPC projects.

What is the difference between Internship High Performance Computing Engineer vs Internship Data Scientist?

AspectInternship High Performance Computing EngineerInternship Data Scientist
Required SkillsProgramming (C++, Python), parallel computing, HPC systemsStatistics, machine learning, data analysis, Python/R
Work EnvironmentResearch labs, tech companies, academia with focus on HPC systemsTech firms, finance, healthcare, research institutions
Industry UsageHigh-performance computing projects, scientific simulationsData analysis, predictive modeling, business insights

Internship High Performance Computing Engineers focus on developing and optimizing computational systems for large-scale scientific and engineering problems, requiring skills in parallel programming and HPC environments. In contrast, Internship Data Scientists analyze data to extract insights, using statistical and machine learning techniques. Both roles are valuable in tech and research sectors but differ in technical focus and daily tasks.

What are the most commonly searched types of High Performance Computing Engineer jobs in San Jose, CA?

The most popular types of High Performance Computing Engineer jobs in San Jose, CA are:

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For Internship High Performance Computing Engineer jobs in San Jose, CA, the most frequently searched job titles are:

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Internship High Performance Computing Engineer jobs near you
Infographic showing various Internship High Performance Computing Engineer job openings in San Jose, CA as of August 2026, with employment types broken down into 1% As Needed, 80% Full Time, 15% Part Time, 3% Contract, and 1% Nights. Highlights an 89% Physical, 2% Hybrid, and 9% Remote job distribution, with an average salary of $146,521 per year, or $70.4 per hour.

High Performance Computing Engineer

ASML

San Jose, CA • On-site

$147K - $221K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 10 days ago

ASML rating

9.3

Company rating: 9.3 out of 10

Based on 41 frontline employees who took The Breakroom Quiz

12th of 494 rated machine equipment manufacturers

Job description

Introduction to the job
We are seeking a highly motivated High Performance Computing (HPC) Engineer to design, develop, deploy, and maintain cutting-edge computing platforms that enable advanced image processing, simulation, machine learning, and data-intensive applications. The HPC Engineer will work across hardware, software, networking, and infrastructure domains to ensure scalable, reliable, and high-performance computing solutions that support next-generation products and engineering workloads.
The ideal candidate combines strong Linux systems expertise with experience in large-scale compute infrastructure, parallel computing, performance optimization, and cross-functional collaboration.
Role and responsibilities
  • Candidates should have good domain knowledge in High-Performance Computing, script language(Shell, Python), Linux administrator, operating systems (Linux, Windows), computer network
  • Distributed file systems (Lustre/NFS), virtualization and containerization related experience is a plus
  • Configuration and maintenance of the HPC computer rack/hardware. Professionally resolve hardware issues
  • HPC Rack, Build, cable, configure, and provision Linux kernel, windows server.
  • HPC Operating System Installation/provision - Windows Server, Linux, Unix.
  • Troubleshooting and resolving hardware problems on Linux cluster hardware and networking equipment and applying logical methods of resolution
  • Preventive maintenance of cluster hardware
  • Web Server and Database installation experience a plus
  • Must be willing to learn quickly, multitask, and work in a fast pace environment.

Education and experience
Bachelor's or Master's degree in Computer Engineering, Computer Science, Electrical Engineering, or related technical field.
2-3 work experience in relevant technical field.
Skills
  • Operating systems: Linux, Windows
  • Hands-on HPC hardware knowledge
  • Programming language: Python, Shell
  • Virtualization and containerization
  • Computer network
  • Distributed file systems
  • Network switch topology

Other information
On-site, up to 10% travel.
The current base annual salary range for this role is currently:
$147,750-221,625
Pay scales are determined by role, level, location and alignment with market data. Individual pay is determined through interviews and an assessment of several factors that that are unique to each candidate, including but not limited to job-related skills, relevant education and experience, certifications, abilities of the candidate and pay relative to other team members.
The Company offers employees and their families, medical, dental, vision, and basic life insurance. Employees are able to participate in the Company's 401k plan. Employees will also receive eight (8) hours of vacation leave every month and (13) paid holidays throughout the calendar year. For more information, please contact the Recruiter or click on this link Compensation & Benefits in the US.
All new ASML jobs have a minimum application deadline of 10 days.
Inclusion and diversity
ASML is an Equal Opportunity Employer that values and respects the importance of a diverse and inclusive workforce. It is the policy of the company to recruit, hire, train and promote persons in all job titles without regard to race, color, religion, sex, age, national origin, veteran status, disability, sexual orientation, or gender identity. We recognize that inclusion and diversity is a driving force in the success of our company.
Need to know more about applying for a job at ASML? Read our frequently asked questions.
Request an Accommodation
ASML provides reasonable accommodations to applicants for ASML employment and ASML employees with disabilities. An accommodation is a change in work rules, facilities, or conditions which enable an individual with a disability to apply for a job, perform the essential functions of a job, and/or enjoy equal access to the benefits and privileges of employment. If you are in need of an accommodation to complete an application, participate in an interview, or otherwise participate in the employee pre-selection process, please send an email to USHR_Accommodation@asml.com to initiate the company's reasonable accommodation process.
Please note: This email address is solely intended to provide a method for applicants to initiate ASML's process to request accommodation(s). Any recruitment questions should be directed to the designated Talent Acquisition member for the position.

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